In other situations, high-dimensional observations are assumed to lie in a low-dimensional subspace. For example, this holds in the Fama-French model [1]} of finance and in the psychometrics [2]} discipline.
The resulting moment tensors admit a symmetric Tucker format.
Thus the decomposition enforces the low-rank structure and improves moment estimation accuracy.
